Data Management

Big Data, Hadoop, and analytics help unearth valuable patterns in business information. But without proper management, backup, archiving, and protection, you're taking an unacceptable risk.

  • Hadoop Buyer's Guide

    Ebooks // Sep 2014 // provided by MapR

    Increasing numbers of enterprises are turning to Hadoop as an indispensable component for the mission-critical applications that drive their core business operations. Hadoop is no longer considered a “science project" or something to be casually spun off to a “skunk works” team. This newfound prominence means that the responsibility of ...

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  • CITO Research: Optimized Data Engineering - A Crucial Challenge for the Internet of Everything Era

    White Papers // Sep 2014 // provided by MapR

    From its inception, MapR has been a leader in architectural innovations to make Hadoop easier to use and more dependable. These innovations range from self-healing of critical services, point-in-time data-recovery snapshots and frequent enhancements that help prevent outages. MapR also overcomes the limit on the number of files that can ...

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  • The Forrester Wave™: Big Data Hadoop Solutions 2014

    White Papers // Sep 2014 // provided by MapR

    Hadoop is today’s sizzling-hot data management platform because it: 1) offers lower-cost storage than traditional systems, 2) has open source innovation, 3) can scale nicely, as its distributed file system makes it suitable for storing and processing big data, and 4) has opened firms’ eyes again to the power and ...

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  • The Executives Guide to Big Data & Apache Hadoop

    Ebooks // Sep 2014 // provided by MapR

    An introduction to Big Data, describing what it consists of and what’s driving its remarkable momentum. I also explain how distributed, parallel processing methodologies – brought to life in technologies such as Hadoop and its thriving ecosystem – can help harvest knowledge from the enormous volumes of raw data – ...

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  • EMA: The Evolution of Data-Driven Security

    Research // Sep 2014 // provided by MapR

    The era of Big Data has begun demonstrating to information security that there is more that can be done to identify threats, address fraud and improve compliance monitoring activities by bringing better context to data for actionable intelligence.

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  • 15 Minute Guide to Smarter Backups

    White Papers // Sep 2014 // provided by EMC

    Backup and recovery has become an essential element of data protection. Information is useless if customers, employees or business partners can't access it when needed. Ability and integrity of information, or the lack of it, can directly impact revenues and profits and company reputations.

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  • Flash Storage Designed for the Most Exacting Requirements - Yours

    Webcasts // Sep 2014 // provided by EMC

    Flash is transforming the industry. Yes Flash is fast, but harnessing the power of Flash requires architecture and software. With a purpose built scale-out architecture and unique in memory data services as well as a consistent performance at scale, XtremIO is unmatched in the All-Flash array market. Flash can also ...

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  • Mining Implications From Data

    White Papers // Sep 2014 // provided by Aachen University

    Item Tree Analysis (ITA) can be used to mine deterministic relationships from noisy data. In the educational domain, it has been used to infer descriptions of student knowledge from test responses in order to discover the implications between test items, allowing researchers to gain insight into the structure of the ...

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  • How Can SMEs Assess the Risk of Organisational Knowledge?

    White Papers // Sep 2014 // provided by Aachen University

    Understanding how processes are executed is essential for all companies. While a certain amount of this knowledge can be explicated, a considerable amount is tacit, thus, it is in the mind of the employees. If this knowledge is not shared between organizational members knowledge loss/knowledge attrition is likely to occur. ...

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  • Metadata Based Clustering Model for Data Mining

    White Papers // Sep 2014 // provided by Journal of Theoretical and Applied Information Technology

    As the information flooding onto worldwide web is growing fast, it is very difficult to find the hidden knowledge from huge data stored. In traditional clustering techniques, the task for clustering algorithm is to find the relevant data, describing relationships among the elements between two input datasets. During unsupervised learning ...

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